Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria

When multiple beneficial alleles at multiple loci are present in a population but not linked together in any one individual, there is no general evolutionary result that determines whether recombination will speed up or slow down the emergence and evolution of genotypes carrying multiple beneficial alleles. Translated to infectious disease control, this evolutionary uncertainty means that when multiple types of drug resistance are present we do not know whether recombination will act more strongly to (1) bring together single-resistant genotypes into multi-drug resistant (MDR) genotypes, or (2) break apart MDR genotypes into single-resistant genotypes. In this paper, we introduce a new version of an established and validated individual-based malaria transmission model where we have added 25 drug-resistance related loci, individual mosquito bites, and mosquitoes feeding on multiple hosts in a single meal (interrupted feeds) allowing for recombination events of different Plasmodium falciparum genotypes from different hosts. Recombination among P. falciparum genotypes in this model occurs from two sources of variation, multi-clonal infections in single hosts and interrupted feeds on multiple hosts, and we show that 80% to 97% of MDR recombinant falciparum genotypes are projected to occur from single uninterrupted bites on hosts with multi-clonal infections (for malaria prevalence > 5%). Increases in the model's interrupted feeding rate slowly increase the number of recombination events occurring from interrupted feeds. A comparison of drug-resistance management strategies with this new model shows that, over a 15-year timeframe, triple artemisinin-combination therapies (ACT) strategies show the largest reductions in treatment failures and the longest delays until artemisinin resistance reaches a critical 1% threshold. Multiple first-line therapies (MFT) are second best under these criteria, and ACT cycling approaches are third best. When compared to cycling strategies, MFT strategies generate a greater diversity of recombinant genotypes but fewer recombination events generating MDR and slower emergence of these recombinant MDR genotypes.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-08-25
DOI
https://doi.org/10.1371/journal.pcbi.1013401
Citations
2
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
3.76

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article

Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria

Eric Zhewen Li, Jennifer L. Small-Saunders, Teun Bousema, Tran Dang Nguyen et al.
2 citations
PLoS Computational Biology
Malaria Research and Control
3.76
article

Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria

Eric Zhewen Li, Jennifer L. Small-Saunders, Teun Bousema, Tran Dang Nguyen, Sachel Mok, Daniel B. Weissman, Maciej F. Boni, Robert Zupko, Kien Trung Tran, Thu Nguyen-Anh Tran
article en
2 citations

Abstract

When multiple beneficial alleles at multiple loci are present in a population but not linked together in any one individual, there is no general evolutionary result that determines whether recombination will speed up or slow down the emergence and evolution of genotypes carrying multiple beneficial alleles. Translated to infectious disease control, this evolutionary uncertainty means that when multiple types of drug resistance are present we do not know whether recombination will act more strongly to (1) bring together single-resistant genotypes into multi-drug resistant (MDR) genotypes, or (2) break apart MDR genotypes into single-resistant genotypes. In this paper, we introduce a new version of an established and validated individual-based malaria transmission model where we have added 25 drug-resistance related loci, individual mosquito bites, and mosquitoes feeding on multiple hosts in a single meal (interrupted feeds) allowing for recombination events of different Plasmodium falciparum genotypes from different hosts. Recombination among P. falciparum genotypes in this model occurs from two sources of variation, multi-clonal infections in single hosts and interrupted feeds on multiple hosts, and we show that 80% to 97% of MDR recombinant falciparum genotypes are projected to occur from single uninterrupted bites on hosts with multi-clonal infections (for malaria prevalence > 5%). Increases in the model's interrupted feeding rate slowly increase the number of recombination events occurring from interrupted feeds. A comparison of drug-resistance management strategies with this new model shows that, over a 15-year timeframe, triple artemisinin-combination therapies (ACT) strategies show the largest reductions in treatment failures and the longest delays until artemisinin resistance reaches a critical 1% threshold. Multiple first-line therapies (MFT) are second best under these criteria, and ACT cycling approaches are third best. When compared to cycling strategies, MFT strategies generate a greater diversity of recombinant genotypes but fewer recombination events generating MDR and slower emergence of these recombinant MDR genotypes.

PLoS Computational BiologyVol. 21(8)
Pennsylvania State University (US), Center for Disease Dynamics, Economics & Policy (US), Radboud University Nijmegen (NL), Emory University (US), Columbia University Irving Medical Center (US), Radboud University Medical Center (NL), Temple University (US)
National Science Foundation, U.S. Department of Health and Human Services, Doris Duke Charitable Foundation, Bill and Melinda Gates Foundation, Human Frontier Science Program, University of Washington, Temple University, Gerstner Family Foundation, National Institutes of Health, Institute for Computational and Data Sciences, Pennsylvania State University, National Institute of Allergy and Infectious Diseases, Army Research Laboratory, H2020 European Research Council
Openalex Percentile: Top 6%
Malaria Research and Control
3.76
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